AI Coding Agents Can Autonomously Direct Robot Training, NVIDIA Demonstrates
Ars Technica AI14 hours agoPaperNVIDIA has introduced a self-improvement program for robots that delegates training direction to teams of AI coding agents rather than human engineers. The system enabled robots to learn precise physical tasks, including installing GPUs and cutting zip-ties. The approach signals that agentic AI paradigms developed for software are now being applied to embodied robotics training pipelines.
MolmoMotion: Language-Guided 3D Motion Forecasting
Hugging Face Blog18 hours agoPaperAllen Institute for AI has released MolmoMotion, a new model that adds language-guided 3D motion forecasting to the open-source Molmo family. By conditioning spatial trajectory predictions on natural language, the system enables more flexible, human-interpretable motion anticipation. The work targets applications in robotics, video understanding, and embodied AI where predicting movement in 3D space is safety-critical or operationally essential.
From Hugging Face Hub to Robot Hardware with Strands Agents and LeRobot
Hugging Face Blog23 hours agoTutorialA Hugging Face blog post co-authored with Amazon demonstrates how to take AI models from the Hugging Face Hub all the way to running on physical robots. The integration combines Amazon's open-source Strands Agents agentic framework with Hugging Face's LeRobot robotics library to create an end-to-end pipeline. The result is a practical path for developers to deploy Hub-trained policies and models onto real robot hardware using agent-based orchestration.
One Model Controls Hands, Feet, and Torso: Robots Achieve Whole-Body Coordination for Fine Manipulation
量子位 QbitAIyesterdayPaperResearchers have developed a unified model that simultaneously controls a robot's hands, feet, and torso, enabling full-body coordination. This approach allows robots to perform fine, dexterous tasks that previously required fragmented, limb-specific control systems. The advance represents a meaningful step toward humanoid or multi-limbed robots that can handle complex real-world manipulation with integrated motor intelligence.
Top Embodied-AI Brain Startup Raises Hundreds of Millions; 15 VCs Back World-Model Route
量子位 QbitAIyesterdayBusinessA top-tier startup specializing in embodied-AI brain systems has secured another funding round worth hundreds of millions of dollars, drawing fierce competition from 15 venture capital firms. The company pursues a world-model approach—building internal representations of physical environments to enable more generalizable robot reasoning. The deal underscores surging investor conviction in world-model architectures as the dominant path to scalable embodied intelligence.
Tsinghua Startup Lands Auto Factory Orders, Deploys Embodied AI on Real Production Lines
量子位 QbitAI3 days agoBusinessA Chinese robotics startup with Tsinghua University roots has secured orders from automotive manufacturers to run embodied intelligence systems on active production lines — all within roughly one year of founding. The milestone signals that the company's physical AI technology has cleared the demanding reliability bar set by car factories. It reflects the accelerating commercialization of embodied AI in China's industrial sector, with automotive manufacturing as a primary early market.
Jeff Bezos’ Prometheus Targets an “Artificial General Engineer”
The Verge AI6 days agoBusinessJeff Bezos’ AI startup Prometheus is aiming to develop what he calls an “artificial general engineer.” The company wants to build AI-powered tools that help design physical products, with possible applications in robotics, drug design, manufacturing, and complex hardware. The Verge reports that Prometheus has raised $12 billion, reached a $41 billion valuation, employs about 150 people, and is led by Bezos and Vik Bajaj.
BEV Enters Embodied AI: Robot Data Moves Toward the Scaling Fast Track
量子位 QbitAI6 days agoCommentaryThe article title suggests a discussion of bringing BEV, or bird’s-eye-view perception, into embodied intelligence. It appears to frame robot data as a scaling bottleneck and points to a cross-dimensional approach for accelerating data use. Because no body text is provided, the specific method, company claims, benchmarks, and product details cannot be verified.
Neura Robotics Completes Up to $1.4B Series C Funding★ 74
INSIDE 硬塞 AI7 days agoBusinessGerman humanoid robotics startup Neura Robotics completed a Series C round reportedly worth up to $1.4 billion. Investors mentioned include Tether, NVIDIA, Amazon, and Qualcomm. The funding will support global deployment and expanded production capacity, underscoring continued investor interest in physical AI and humanoid robotics commercialization.
UBTECH UWORLD U1: Why Emotional Companionship Is the Fastest Path for Humanoid Robots
INSIDE 硬塞 AI7 days agoHardwareUBTECH’s UWORLD U1 humanoid robot focuses on emotional companionship rather than industrial deployment. Its preorder performance, surpassing 3,000 units in eight days, suggests early consumer interest in companion robots. However, high pricing, sustained real-world value, long-term interaction quality, and ethical concerns around emotional attachment remain major hurdles.
Former Li Auto AD Chief Launches Embodied AI Startup in Beijing Yizhuang
量子位 QbitAI8 days agoBusinessQbitAI reports that Kunlunxing, co-founded by former Li Auto autonomous driving leader Lang Xianpeng and former Alibaba vice president Ren Geng, has settled in Beijing Yizhuang. The startup targets general embodied intelligence, benchmarking Tesla humanoid robots and building both robot hardware and AI brains. Despite fast hiring, strong investor backing, and a reported unicorn valuation, the article stresses that technical paths, commercialization, and real-world deployment remain uncertain.
Google DeepMind Launches Initiative to Power the Future of Robotics in Europe★ 70
Google DeepMind Blog9 days agoBusinessGoogle DeepMind has unveiled a strategic initiative to power the future of robotics in Europe. The program focuses on advancing Embodied AI and physical AI through deep collaborations with European academic institutions and industry partners. By combining DeepMind's AI expertise with Europe's strong engineering foundation, the initiative aims to accelerate breakthroughs in robotic generalization and safety.
NVIDIA and LG Group Build AI Factory for Physical AI, Mobility and Infrastructure★ 72
Hacker News (AI keywords)10 days agoHardwareNVIDIA and LG Group announced an AI factory collaboration spanning robotics, autonomous driving, data center technologies and GPU cloud services. The effort connects NVIDIA Isaac, Cosmos, DRIVE, DSX, Blackwell GPUs, NeMo and TensorRT-LLM with LG’s manufacturing, robotics, mobility and infrastructure businesses. The partnership also supports LG’s EXAONE sovereign AI model work and broader enterprise AI adoption across the group.
World’s First Robot Training Property: 300,000 Chinese Homes for Robots
量子位 QbitAI10 days agoReleaseDaxiao Robot and CUHK MMLab introduced Kairos-Homeworld, an open project with 300,000 Chinese residential floor plans and 5,000 interactive 3D home scenes. It can generate full household environments from prompts, including layouts, furniture, objects, and physical properties. The article frames it alongside Kairos 3.0-4B as part of a broader embodied AI stack: world model, data, and environment.
For LLMs It Is Coding; for Embodied AI It Is Picking: Yuanli Lingji Enters Early
量子位 QbitAI10 days agoBusinessBased only on the title, the article frames coding as a key testbed for large language models and picking as a key testbed for embodied AI. It appears to focus on Yuanli Lingji’s early move into robot manipulation or picking scenarios. No concrete product, benchmark, model detail, or performance claim can be verified without the original article body.
NVIDIA and LG Group Build an AI Factory for Physical AI, Mobility and AI Infrastructure★ 74
NVIDIA Blog10 days agoHardwareNVIDIA and LG Group are collaborating on an AI factory to support LG’s AI-driven businesses across robotics, autonomous driving, data center technologies and GPU cloud services. The effort connects NVIDIA’s AI factory platform with LG’s manufacturing, mobility, robotics and infrastructure capabilities. It also covers Isaac, Cosmos, DRIVE, DSX and EXAONE-related work using Blackwell GPUs, NeMo, Nemotron datasets and TensorRT-LLM.
NVIDIA and Doosan Group Collaborate on Physical AI and AI Factory Infrastructure
NVIDIA Blog10 days agoBusinessNVIDIA and Doosan Group are expanding their partnership across physical AI, robotics and AI factory infrastructure. The collaboration connects NVIDIA’s accelerated computing stack, DSX, MGX and physical AI tools with Doosan’s industrial automation, power generation and electronics materials capabilities. Key areas include smarter industrial robots, autonomous equipment, AI data center power systems and advanced PCB materials for high-performance servers and networking.
Is Silicon Valley ready to put robots in people’s homes? Hello Robot is.
TechCrunch AI14 days agoHardwareHello Robot has released Stretch 4, the fourth generation of its home assistance robot. The company is taking a cautious, deployment-first approach, using a wheeled base, telescoping arm, sensors, and human-in-the-loop control rather than promising a general-purpose humanoid. TechCrunch frames Stretch as a practical bet on real household data, assistive use cases, and safer hardware for people with mobility challenges.
NXP Computex 2026 Keynote: Neural Axis for Physical AI Hardware
INSIDE 硬塞 AI15 days agoHardwareAt Computex 2026, NXP focused on Physical AI and introduced its Neural Axis architecture for edge devices. The architecture emphasizes low latency, high security, and hardware-based trust for real-time responses. The article frames this as important for robotics, autonomous vehicles, and other physical-world AI deployments where safe operation is essential.
NVIDIA Cosmos 3: An Open Omni-model for Physical AI Reasoning and Action
Hugging Face Blog17 days agoReleaseHugging Face Blog announces NVIDIA Cosmos 3, described as the first open omni-model for Physical AI reasoning and action. The title indicates a focus on AI systems that interact with physical-world scenarios rather than only text generation. Because the article body was not provided, its architecture, supported modalities, license, downloadable assets, benchmarks, and deployment requirements cannot be verified from the available material.
Startup offers free home cleaning if it can record it all for robot training
Ars Technica AI20 days agoBusinessAI training startup Shift is offering free home cleanings while workers wear head-mounted cameras that record household chores. The footage is intended to become training data for domestic robots and related AI systems. The model highlights rising demand for real-world robotics data, while raising privacy questions about recording inside homes.
This AI startup will clean your home for free to train future robots
The Verge AI20 days agoBusinessAI training startup Shift is offering to clean homes for free, with a significant condition: it records cleaners at work. The footage captures tasks like scrubbing, vacuuming, dusting, tidying, and washing. Shift says the material will be used to train future robots, raising clear questions about data collection inside private homes.
NASA Unveils $20B Moon Base Plan, Robots to Scout Lunar South Pole This Fall
INSIDE 硬塞 AI21 days agoHardwareNASA announced a $20 billion plan to build a phased outpost near the Moon’s south pole. The agency will work with private companies and send robots first for scouting and deployment. The effort is intended to support Artemis crewed missions and prepare for long-term lunar presence after 2032.
Reachy Mini goes fully local
Hugging Face Blog22 days agoHardwareHugging Face published a tutorial for running Reachy Mini conversations without cloud audio processing or API keys. The setup uses its speech-to-speech library as a cascaded VAD, STT, LLM, and TTS pipeline exposed through a Realtime API-compatible WebSocket. Recommended defaults include llama.cpp with Gemma 4, Silero VAD, Parakeet-TDT, and Qwen3-TTS, while allowing swaps to vLLM, MLX, Transformers, or hosted Responses API providers.
3D-printable humanoid legs let robotics experiments run wild
Ars Technica AI23 days agoHardwareArs Technica reports that Hugging Face has introduced a roughly $2,500 bipedal humanoid robot project built around 3D-printable legs. The effort targets builders and researchers rather than mainstream consumers, lowering the hardware barrier for hands-on robotics experiments. Its broader significance is in open, reproducible embodied AI research, where models and control systems need physical platforms for testing.
This startup is betting India’s gig economy can train the world’s robots
TechCrunch AI23 days agoBusinessHuman Archive, founded by Berkeley and Stanford researchers, is using India’s gig economy to gather physical-world AI data. Workers are paid to wear camera-equipped caps and sensor devices while moving through real environments. The company is targeting the growing demand from AI and robotics labs for real-world training data needed to develop physical AI systems.
網路瘋傳！Figure AI 推出人形機器人 24 小時搬包裹直播，引發社群熱烈關注
Ars Technica AI29 days agoReleaseHumanoid robot startup Figure AI recently launched a highly buzzworthy technology showcase: a 24-hour uninterrupted live stream depicting its latest humanoid…
烏克蘭無人機創辦人 Yaroslav Azhnyuk 談自主無人機技術棧與無人機經濟學：西方國家正處於昏睡狀態
Latent Space31 days agoCommentaryIn this episode of the Latent Space podcast, the hosts and guest host Noah Smith (author of the well-known economics and technology blog Noahpinion)…
Import AI 451：政治超智慧、Google 的心智社會，以及機器人鼓手★ 75
Import AI (Jack Clark)80 days agoCommentaryIn this issue of Import AI 451, author Jack Clark opens with a thought-provoking question: "Is there any technological genie that has been released that can be…
D4RT：讓 AI 學會用四維視角觀察世界，動態 4D 重建與追蹤速度提升高達 300 倍★ 80
Google DeepMind Blog153 days agoReleaseGoogle DeepMind has published a new technology called D4RT, designed to enable artificial intelligence to understand and reconstruct the dynamic world we live…